About me
Andry Becerra
MMachine Learning | Generative AI | Mechanical Engineering
I am a Machine Learning Engineer with a strong background in mechanical engineering and experience in generative AI and advanced machine learning technologies. Using tools like Python, Pandas, Numpy, Keras, Tensorflow, Scikit-learn, and OpenAI models, as well as other generative AI technologies like Stable Diffusion, LLaMA, and other large language models (LLMs), I create innovative solutions for complex business challenges.
My technical expertise is complemented by a proven track record in leading multidisciplinary engineering teams, process improvement, and effective communication skills, fostering successful collaborations. I am committed to leveraging my diverse skills in machine learning and generative AI to drive innovation, contribute to impactful ML initiatives, and continuously advance professionally.
- Email andryjbv@gmail.com
- Whatsapp +57 300 9295014
Experience
Computer Science Expert AI Trainer at Scale AI
Develop and apply Reinforcement Learning from Human Feedback (RLHF) strategies to enhance chatbot naturalness and effectiveness for industry-leading clients. Employ advanced tools such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SciPy, and Matplotlib, leading to significant improvements in AI system responsiveness and adaptability.
Machine Learning Engineer at AnyoneAI (Part-time)
Automated product categorization for e-commerce, developed home credit risk analysis models, implemented sentiment analysis for movie reviews, created a vehicle image classifier, and designed automated ELT data pipelines. Main technologies: Python, Pandas, Matplotlib, Seaborn, Airflow, Docker, HTML, Locust, APIs, SQL.
IT Advisor at Solución Empresarial 21
Web development, animation production, and computer maintenance services. Main technologies: JavaScript, Python, 3D printing, Cura, Solid Edge, HTML, CSS.
Project Manager at Capacítese21 SAS
Led the development of C21English, an interactive platform for teaching English to school-aged children in Colombia. Managed a multidisciplinary team and ensured high-quality results. Main technologies: JavaScript, PHP, HTML, CSS.
Project Engineer at Venemanufactura C.A.
Led product development and prototype manufacturing for various industries. Integrated mechanics, electronics, and computer science in project execution. Main technologies: C++, Python, HTML, CSS, Solidworks, Mastercam, AutoCAD, Catia, Arduino, Raspberry Pi.
Manager of New Projects at Gurimetal CA
Developed CAD solutions for clients and oversaw prototype production. Managed client relationships and product development. Main technologies: Solid Edge, AutoCAD.
University Professor at Instituto Universitario Politécnico Santiago Mariño
Taught courses in heat transfer, materials resistance, electrical circuits, mathematics, and robotics for engineering students. Integrated contemporary technological tools and fostered multidisciplinary collaboration. Main technologies: Solid Edge, AutoCAD, Excel, ANSYS.
Education
Mechanical Engineer – Universidad del Táchira (UNET)
The Mechanical Engineer, backed by a solid preparation in mathematics and statistics, is dedicated to the design and analysis of energy transformation systems, focusing on maximizing efficiency. This training positions him as a cornerstone in the innovation of machinery and advancements in contemporary industry.
Recent Projects in Machine Learning:
Medical Expenses Prediction:
I developed a Linear Regression model using Scikit-Learn, achieving an 85% accuracy in predicting medical expenses.
Customer Churn Analysis:
I implemented a Logistic Regression model with Scikit-Learn, identifying key factors in customer churn.
Country Segmentation:
I conducted a clustering analysis to segment countries based on socioeconomic data, providing valuable insights for marketing strategies.
Image Classifier:
I developed an image classifier for humans and horses using Deep Neural Networks, achieving a 95% accuracy.
Relevant Courses in Machine Learning:
Python and Programming:
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- Fundamentals of Python.
- Basic Python.
- Introduction to Computational Thinking with Python.
- Intermediate Python: Comprehensions, Lambdas, and Error Handling.
- Python: PIP and Virtual Environments.
- Basic Algorithms and Logical Thinking.
- Object-Oriented Programming.
- Professional Git and Github.
Data Science and Machine Learning:
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- Working Environment for Data Science with Jupyter Notebooks and Anaconda.
- Introduction to Machine Learning.
- Data Manipulation and Transformation with Pandas and Numpy.
- Linear Regression with Python and scikit-learn.
- Logistic Regression with Python and scikit-learn.
- Clustering with Python and scikit-learn.
- Business Analysis for Data Science.
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning.
Ethics and Data Management:
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- Ethics and Data Management for Data Science and Artificial Intelligence.
Mathematics and Statistics:
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- Basic Differential Calculus Course for Data Science and Artificial Intelligence.
- Mathematical Functions for Data Science and Artificial Intelligence.
- Fundamentals of Linear Algebra with Python.
- Mathematics for Data Science: Descriptive Statistics.
- Mathematics for Data Science: Probability.
Databases and Business Intelligence:
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- Fundamentals of Databases.
- Business Intelligence: Utility and Opportunities.
- Tableau: Data Visualization and Storytelling for Business.
- Principles of Data Visualization for Business Intelligence.
Artificial Intelligence:
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- Introduction to Artificial Intelligence.
- Artificial Intelligence Tools for Developers.
- Prompt Engineering with ChatGPT.
Cloud Computing and Big Data:
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- Introduction to the Cloud with Azure
Languages:
Spanish:
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- Native.
English:
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- Advanced (B2-C1 Core Training Program, Platzi English Academy).
